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Literature review of the vehicle relocation problem in one-way car sharing networks

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  • Illgen, Stefan
  • Höck, Michael

Abstract

In this paper, we perform a systematic review of selected publications that offer method-based solutions to the vehicle relocation issues in car sharing networks. Asymmetric networks allowing one-way trips are the most promising form of car-sharing systems. However, the resulting vehicle imbalance across the station grid requires relocations. Typical approaches to solving the vehicle relocation problem include mixed-integer programming for strategic or operation-oriented design problems, as well as simulation models for management tasks. We survey how researchers define the decision problems related to the vehicle relocation issue, and consider their division into multistage approaches. This article offers a starting point for researchers interested in modeling one-way vehicle sharing.

Suggested Citation

  • Illgen, Stefan & Höck, Michael, 2019. "Literature review of the vehicle relocation problem in one-way car sharing networks," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 193-204.
    • Handle: RePEc:eee:transb:v:120:y:2019:i:c:p:193-204
    DOI: 10.1016/j.trb.2018.12.006
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    Cited by:

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    2. Boyacı, Burak & Zografos, Konstantinos G., 2019. "Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 244-272.
    3. Chang, Ximing & Wu, Jianjun & Correia, Gonçalo Homem de Almeida & Sun, Huijun & Feng, Ziyan, 2022. "A cooperative strategy for optimizing vehicle relocations and staff movements in cities where several carsharing companies operate simultaneously," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
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    5. Alfred Benedikt Brendel & Sascha Lichtenberg & Stefan Morana & Christoph Prinz & Boris M. Hillmann, 2022. "Designing a Crowd-Based Relocation System—The Case of Car-Sharing," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
    6. Lide Yang & Jiemin Xie & Tuo Sun & Junxian Wu & Jinquan Hou & Shuangjian Yang, 2023. "Application of Autonomous Transportation Systems: Detection of a Potential Sub-Leasing Type of Carsharing," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    7. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    8. Huang, Kai & An, Kun & Rich, Jeppe & Ma, Wanjing, 2020. "Vehicle relocation in one-way station-based electric carsharing systems: A comparative study of operator-based and user-based methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    9. Jian, Sisi & Liu, Wei & Wang, Xiaolei & Yang, Hai & Waller, S. Travis, 2020. "On integrating carsharing and parking sharing services," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 19-44.
    10. Carrese, Stefano & D'Andreagiovanni, Fabio & Giacchetti, Tommaso & Nardin, Antonella & Zamberlan, Leonardo, 2021. "An optimization model and genetic-based matheuristic for parking slot rent optimization to carsharing," Research in Transportation Economics, Elsevier, vol. 85(C).
    11. Jingjing Jia & Shujie Ma & Yixi Xue & Deyang Kong, 2020. "Life-Cycle Break-Even Analysis of Electric Carsharing: A Comparative Study in China," Sustainability, MDPI, vol. 12(16), pages 1-29, August.
    12. Weimin Ma & Jiakai Chen & Hua Ke, 2021. "Electric Vehicle Assignment Considering Users’ Waiting Time," Sustainability, MDPI, vol. 13(23), pages 1-14, December.
    13. Ren, Shuyun & Luo, Fengji & Lin, Lei & Hsu, Shu-Chien & LI, Xuran Ivan, 2019. "A novel dynamic pricing scheme for a large-scale electric vehicle sharing network considering vehicle relocation and vehicle-grid-integration," International Journal of Production Economics, Elsevier, vol. 218(C), pages 339-351.
    14. Yang, Jie & Hu, Lu & Jiang, Yangsheng, 2022. "An overnight relocation problem for one-way carsharing systems considering employment planning, return restrictions, and ride sharing of temporary workers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    15. Stokkink, Patrick & Geroliminis, Nikolas, 2021. "Predictive user-based relocation through incentives in one-way car-sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 230-249.
    16. Bansal, Vishal & Kumar, Deepak Prakash & Roy, Debjit & Subramanian, Shankar C., 2022. "Performance evaluation and optimization of design parameters for electric vehicle-sharing platforms by considering vehicle dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    17. Soppert, Matthias & Steinhardt, Claudius & Müller, Christian & Gönsch, Jochen & Bhogale, Prasanna M., 2023. "Matching functions for free-floating shared mobility system optimization to capture maximum walking distances," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1194-1214.
    18. Qin, Hu & Su, E. & Wang, Yilun & Li, Jiliu, 2022. "Branch-and-price-and-cut for the electric vehicle relocation problem in one-way carsharing systems," Omega, Elsevier, vol. 109(C).
    19. Wang, Dong & Liao, Feixiong, 2023. "Incentivized user-based relocation strategies for moderating supply–demand dynamics in one-way car-sharing services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).

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